Instructions to use pborchert/BusinessBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pborchert/BusinessBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pborchert/BusinessBERT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pborchert/BusinessBERT", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Do you have deployment guid and performance tests?
#1
by yeshivsher - opened
I want to test it and do a fine-tuning to categorize articles based on a list of CI topics
Hi, check out the benchmarks included in our GitHub repo: https://github.com/pnborchert/BusinessBERT. The news topic classification (multi-label) benchmark seems to be the most relevant for your use-case. Feel free to reach out in case you encounter any issues.
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